scholarly journals Cross-Layer Design for Reducing the Energy Consumption based on Mobility Parameter in DSR for Mobile Ad-Hoc Network

2012 ◽  
Vol 8 (4) ◽  
pp. 460-467 ◽  
Author(s):  
A.
Keyword(s):  
Energy Consumption ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Mobility Parameter ◽  
Mobile Ad Hoc

scholarly journals Mathematical formulation of energy efficient routing with constraint in mobile ad hoc network

2018 ◽  
Vol 7 (2) ◽  
pp. 674
Author(s):  
Rakesh Sahu ◽  
Narendra Chaudhari
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Mathematical Formulation ◽  
Energy Efficient Routing ◽  
Optimization Function ◽  
Mobile Ad Hoc ◽  
The Mathematical Model

Energy consumption of nodes during the transmission is an important factor for the efficiency and lifetime of a mobile ad hoc network. The reduction in consumption of energy can be achieved, only when its consumption at each step is known. The purpose of this paper is to formulate the mathematical model of energy consumption of network on the basis on links and available nodes in order to formulate the energy optimization function. The probability of link failure in route and innetwork have been taken into consideration as constraints while formulating the objective function of estimated energy consumption, as the low connectivity is one of the challenges due to mobility in ad hoc network.

scholarly journals Interpretation on Energy Consumption of DYMO Protocol Towards Green Environment

2020 ◽  
Vol 9 (4) ◽  
pp. 2895-2897
Keyword(s):  
Energy Consumption ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Mobile Nodes ◽  
Grid Environment ◽  
Data Packets ◽  
Dynamic Movement ◽  
Mobile Ad Hoc ◽  
Expensive Process

Mobile Ad hoc Network is a decentralized network which can be deployed instantly. Routing is a very challenging task in this network due to dynamic movement of mobile nodes. Various routing protocols such as OLSR, DYMO and ZRP are proposed to establish the route for the data packets in MANET’s. As deploying of the protocols into real environment is a cost expensive process, the protocols are initially evaluated through a simulated arena. Many of the mobile devices are battery equipped and each protocol consumes energy in different manner. In this paper, energy consumption evaluation is carried out on OLSR, DYMO and ZRP protocols in a grid environment. The experiments have shown that DYMO protocol has less energy consumption when compared to OLSR and ZRP protocols.

scholarly journals Mobile Ad Hoc Network Energy Cost Algorithm Based on Artificial Bee Colony

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Mustafa Tareq ◽  
Raed Alsaqour ◽  
Maha Abdelhaq ◽  
Mueen Uddin
Keyword(s):  
Energy Consumption ◽  
Ad Hoc Network ◽  
Artificial Bee Colony ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Delivery Ratio ◽  
Packet Size ◽  
Abc Algorithm ◽  
Bee Colony ◽  
Mobile Ad Hoc

A mobile ad hoc network (MANET) is a collection of mobile nodes that dynamically form a temporary network without using any existing network infrastructure. MANET selects a path with minimal number of intermediate nodes to reach the destination node. As the distance between each node increases, the quantity of transmission power increases. The power level of nodes affects the simplicity with which a route is constituted between a couple of nodes. This study utilizes the swarm intelligence technique through the artificial bee colony (ABC) algorithm to optimize the energy consumption in a dynamic source routing (DSR) protocol in MANET. The proposed algorithm is called bee DSR (BEEDSR). The ABC algorithm is used to identify the optimal path from the source to the destination to overcome energy problems. The performance of the BEEDSR algorithm is compared with DSR and bee-inspired protocols (BeeIP). The comparison was conducted based on average energy consumption, average throughput, average end-to-end delay, routing overhead, and packet delivery ratio performance metrics, varying the node speed and packet size. The BEEDSR algorithm is superior in performance than other protocols in terms of energy conservation and delay degradation relating to node speed and packet size.

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